Principal Product Manager, Dataverse

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$142,800–$274,800 / yr
Posted
33 days ago
Freshness
Confirmed live today
Closes
Mar 22, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $209k
$127k $291k
below market most similar roles pay here above market

This role pays more than 56% of similar roles. Most pay $177,250–$231,000 — the blue band above. At the midpoint, this role pays about $209k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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At a glance

TL;DR · Principal Product Manager, Dataverse

JOB TITLE: Principal Product Manager, Dataverse The Principal Product Manager, Dataverse leads the product strategy for the core data platform supporting Dynamics 365 and Power Platform. This role involves setting investment priorities for data governance, lifecycle management, storage economics, and reliability across Finance and Operations data-platform capabilities. The manager will define requirements for availability, performance, and observability while shaping how supported interfaces and emerging agent integrations build on the platform foundation. Key responsibilities include developing commercial models, managing ecosystem strategies with independent software vendors, and aligning platform contracts with AI scenarios. The role requires technical expertise in storage architecture, data lifecycle, and integration to solve complex problems regarding data governance, policy-based retention, and scalable business data management for enterprise applications, ensuring the platform remains economically sustainable and secure.

What does a Product Manager earn in Washington?

Median $224500 from 112 postings across 23 companies.

See salary data

What you'll do

  • Own the product vision, strategy, and roadmap for the Business Applications core data platform.
  • Set modernization priorities for platform reliability, scalability, extensibility, and supported access patterns.
  • Identify high-value business data scenarios to drive reusable platform capabilities rather than one-off solutions.
  • Define requirements for availability, performance, observability, and administrator control across enterprise and AI scenarios.
  • Shape storage economics and capacity-management strategies to balance customer outcomes with platform costs.
  • Incorporate identity, authorization, policy, audit, and compliance requirements into core data-platform capabilities.
  • Develop commercial models, pricing inputs, and evidence-based investment cases for core platform capabilities.
  • Represent the platform vision and roadmap to enterprise customers, partners, and senior leadership.

What we're looking for

  • Bachelor's Degree and 8+ years of experience in product/service/program management or software development, or equivalent experience.
  • Ability to pass the Microsoft Cloud background check.
  • Bachelor's Degree and 12+ years of experience in product/service/program management or software development, or equivalent experience (preferred).
  • 4+ years of experience taking a product, feature, or experience to market (preferred).
  • 6+ years of experience improving product metrics for a product, feature, or experience in a market (preferred).
  • 6+ years of experience disrupting a market for a product, feature, or experience (preferred).
  • Experience leading product strategy for enterprise ERP, transaction platforms, developer platforms, or other mission-critical business systems (preferred).
  • Technical understanding of enterprise data platforms, including storage architecture, data lifecycle, integration, extensibility, reliability, and operations at scale (preferred).

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